CN109190884A - A kind of river water body integrated evaluating method - Google Patents

A kind of river water body integrated evaluating method Download PDF

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CN109190884A
CN109190884A CN201810833611.2A CN201810833611A CN109190884A CN 109190884 A CN109190884 A CN 109190884A CN 201810833611 A CN201810833611 A CN 201810833611A CN 109190884 A CN109190884 A CN 109190884A
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杜朝丹
李汇沣
陈美香
李双强
游丽燕
刘佳
陈若其
张非凡
叶广宇
黄翔峰
陆丽君
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Fujian Haixia Environmental Protection Group Co Ltd
Tongji University
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Tongji University
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Abstract

The present invention relates to a kind of river water body integrated evaluating methods, comprising the following steps: step S1, establishes three-level indicator evaluation system, the three-level indicator evaluation system includes first class index, two-level index and three-level index, and the three-level index includes multiple grades;Step S2, quantitatively evaluating is carried out by black smelly degree of the Matter Analysis to river water body, including establish the metrics evaluation matrix of three-level index, indicator vector corresponding to metrics evaluation matrix and metrics evaluation matrix is normalized and according to after normalized metrics evaluation matrix and indicator vector determine the degree of association;Step S3, the weight of every three-level index is determined by level-delphi analysis method, and by the way that expert judging table is arranged, establishes expert opinion matrix, Calculation Estimation vector angle, and weight is corrected using the expert judging consistent degree after normalization.

Description

A kind of river water body integrated evaluating method
Technical field
The present invention relates to environment protection field more particularly to a kind of river water body integrated evaluating methods.
Background technique
With the rapid development of our country's economy with the improvement of people's living standards, urban landscape rivers water body is faced with industry The challenges such as discharge of wastewater, sanitary sewage import, cities and towns pollution of area source aggravates, ecological functions are lost, domestic more city occur The black smelly phenomenon in river, brings numerous adverse effects to urban development and quality of residents'life.It deepens the reforms in an all-round way in China, open It opens in Ecological Civilization Construction process, China has also started city black-odor riverway and carried out comprehensive improvement, effectively administers and changes carrying out On the basis of kind measure, effect and long-acting operational effect of the city river black and odorous water before and after regulation how are evaluated, to realization The sustainable promotion of Urban Water Environment is particularly important.
According to " the city black and odorous water renovation guide " in house town and country construction portion and Environmental Protection Department joint publication, city City's black and odorous water, which refers to, to be presented unpleasant color and (or) distributes the system for making us the water body of foreign odor in completed region of the city Claim.After the formation of black-odor riverway mainly enters water body due to a large amount of organic pollutants, the biochemical action of aerobic microbiological is consumed A large amount of O in water body2, lead to anaerobic bacteria mass propagation, make organic matter corruption, decompose, fermentation, be decomposed into NH3- N, humic Matter, H2S etc. has the odour evolution water surface to enter atmosphere, while the heavy metals such as iron, manganese are reduced in water, with the sulphion shape in water At the substance suspended particulate of a large amount of negatively charged colloids, makes water body blackening, fouls.However it is directed to the evaluation of black-odor riverway at present, It is most of to be evaluated using fairly simple water quality indicator, can not reflect comprehensively black-odor riverway administer front and back resultant effect and Long-acting operational effect, and lack connection with water quality indicator specified in " water environment quality standard (GB 3838-2002) ".
The analysis method current about evaluation problem has very much, such as clustering, Canonical correspondence analysis method, Monte Carlo Model analysis, entropy weight composite index law, Field Using Fuzzy Comprehensive Assessment, grey Relational Analysis Method etc..But above method is directed to city The evaluation degree of correlation of the black smelly level in city river is not enough agreed with: clustering is Exploratory analysis methodology, is suitable for data mining; Although sample prescription data and environmental factor are carried out the matrix binding analysis degree of association by Canonical correspondence analysis method, original method exists " bowing effect " problem;Monte-carlo Simulation method is the system simulation carried out based on probabilistic method basis, for city The simulation of the black smelly problem in city lacks suitable mathematical probabilities model;Entropy weight composite index law be it is a kind of based on index degree of variation into The modified method of row weight, since city black-odor riverway index for selection information content is fixed, so this method correcting action is unobvious; Field Using Fuzzy Comprehensive Assessment calculating is complex, and there is a problem of that resolution ratio is low when index set number is more;Grey relational grade Analytic approach is chiefly used in analyzing different factors to be influenced system and the judgement of the degree of association at any time.
Summary of the invention
The technical problems to be solved by the present invention are: providing a kind of river water body integrated evaluating method, river water body is promoted The accuracy of overall merit.
In order to solve the above-mentioned technical problem, the technical solution adopted by the present invention are as follows:
A kind of river water body integrated evaluating method, it is characterised in that: the following steps are included: step S1, establishing three-level index Appraisement system, the three-level indicator evaluation system include first class index, two-level index and three-level index, and the three-level index includes Multiple grades;
Step S2, quantitatively evaluating is carried out by black smelly degree of the Matter Analysis to river water body, including establishes three-level and refers to Target metrics evaluation matrix, indicator vector corresponding to metrics evaluation matrix and metrics evaluation matrix is normalized, And the degree of association between each grade of the metrics evaluation matrix and the three-level index after determining normalized;
Step S3, the weight that every three-level index in the degree of association is determined by level-delphi analysis method, receives multiple needles To the weight judgment matrix of every three-level index, the average homogeneity degree of each weight judgment matrix is calculated and to all average Consistent degree is normalized to obtain relatively uniform degree, is repaired using the relatively uniform degree to the weight of three-level index Just.
The beneficial effects of the present invention are: lack suitable metrics evaluation weight in traditional river channel ecology evaluation method Modification method causes the result after step analysis to be influenced by subjective factor more, and the present invention carries out layer using Delphi method Weight amendment after secondary analysis, is substantially a kind of feedback anonymous function method, is received multiple for every three-level index Weight judgment matrix, after being concluded, being counted, judge comparison is carried out with easy, intuitive way, compared to the direct layer of tradition The modified result of Delphi more objective and fair is added, for true index to the black smelly of target cities river in fractional analysis It is more accurate to influence to evaluate, and keeps this method also wider for the scope of application in river.
Detailed description of the invention
Fig. 1 show river water body integrated evaluating method flow chart of the invention;
Fig. 2 show river water body comprehensive evaluation index index system establishment figure of the invention;
Specific embodiment
To explain the technical content, the achieved purpose and the effect of the present invention in detail, below in conjunction with embodiment and cooperate attached Figure is explained.
The most critical design of the present invention is: introducing Delphi method as weight correction means, form more accurate Integrated evaluating method receives multiple weight judgment matrixs for every three-level index, calculates each weight judgement later The relatively uniform degree of matrix is simultaneously modified the weight of three-level index using relatively uniform degree, so that the standard of overall evaluation method Exactness is higher, modified result more objective and fair, the more extensive characteristic of applicable evaluation index.
It please refers to shown in Fig. 1 and Fig. 2, a kind of river water body integrated evaluating method of the invention, including multi objective are multi-level The foundation of evaluation method and the imparting of associated weight and amendment, the black smelly degree of the synthesis in evaluation goal river give the smelly river of urban black Water correction recruitment evaluation provides reference and suggests after the proposition and improvement of the comprehensive improvement scheme in road.
Step S1, establish appraisement system: the features such as ecological characteristic based on city inland river, explicit evaluation angle refers to evaluation Mark, establishes three-level indicator evaluation system, smelly level black to river, eutrophication, bio-diversity level, hydrodynamics water It is evaluated in terms of equality, city river System of Comprehensive Evaluation and its explanation are as shown in table 1.
1 city river System of Comprehensive Evaluation of table and its explanation
Further, the opinion rating of three-level index is determined: according to above-mentioned three-level index, with reference to " surface water environment quality Standard (GB 3838-2002) " with " standards for drinking water quality (GB5749-2006) ", in conjunction with practical black-odor riverway situation, Each index is divided into six grades, and carries out interval division, as shown in table 2:
2 three-level index quantification interval division grade of table
Step S2, quantitatively evaluating is carried out by black smelly degree of the Matter Analysis to river water body, including establishes three-level and refers to Target metrics evaluation matrix, indicator vector corresponding to metrics evaluation matrix and metrics evaluation matrix is normalized, And the degree of association between each grade of the metrics evaluation matrix and the three-level index after determining normalized;Specifically such as Under:
The metrics evaluation matrix of three-level index is set as Y'i, wherein Y'iThree-level index the evaluation of estimate of each grade is used L'ij(i=1,2 ..., 17, j=1,2,3,4,5,6) indicate, i indicates corresponding i-th of three-level index, and j indicates corresponding One, two, three, four, five, six grades.
Further, indicator vector corresponding to metrics evaluation matrix and metrics evaluation matrix is normalized Method particularly includes:
To metrics evaluation matrix Y'iIn evaluation of estimate be normalized, so that its evaluation of estimate is under the jurisdiction of the area of [0,1] Between, if metrics evaluation matrix Y'iThe section domain of middle three-level index is stringent closed interval, by the endpoint value of each Classical field divided by section The right end point value in domain, if section domain be [m ,+∞) semi-closure half open interval, then by m expand it is four times greater after value be set as section domain right endpoint Value, the metrics evaluation matrix then by the endpoint value of each Classical field divided by the right end point value in section domain, after finally obtaining normalization Yi, wherein the Classical field L of each three-level indexijIt indicates;
To the normalized of the evaluation of estimate in indicator vector, so that its evaluation of estimate is under the jurisdiction of the section of [0,1], distinguished with b' Divided by Y'iIn the normalization of i-th three-level index when divided by numerical value, indicator vector B after being normalized, wherein B=(b1、 b2、…bi…b17), bi(i=1,2 ... 17) represent the evaluation of estimate of i-th of three-level index after standardization processing, B represents specification Change treated indicator vector.
Further, the object element analysis representation method of the Classical field are as follows:
It is 6 grade Q by the grade Q of three-level index points1、Q2、Q3、Q4、Q5、Q6, each index E in each gradenIt is corresponding Different magnitude ranges, feature EnMagnitude range be Xpj=[Apj, Bpj] (p=1,2,3,4,5,6), then the matter-element of Classical field Matrix KpIt may be expressed as:
The object element analysis representation method in the section domain are as follows:
Q0For the Q of each gradepIt constitutes, then by K0Domain matter-element is referred to as saved, magnitude range is X0j=[A0j, B0j], it is black smelly The section domain object element analysis K of the black smelly degree of the synthesis in river0It may be expressed as:
Further, the determination method of the degree of association are as follows:
The degree of association is set as T, Calculation Estimation index matrix GiDegree of association T about grade j:
In above formula, W ' is each index into excessively revised weight, and T (x) is that same index different safety class is corresponding Maximum correlation function value in correlation function value, wherein T (x)=max (T (xj));
It is determined according to the evaluation index matrix and metrics evaluation vector after normalized using the definition of correlation function Degree of association matrix T, incidence matrix are made of each value of correlation function, are as follows:
In above formula: θ (X, X0) indicating matter-element magnitude X to finite interval X0 (X0=[A, B]), A, B are respectively finite element area Between minimum value at a distance from maximum value;θ (X, XP) is matter-element magnitude X to be measured and finite interval Xp(Xp=[Aj, Bj]) away from From;X, X0, XjThe magnitude of the black smelly degree matter-element in river respectively to be evaluated, the magnitude range of Classical field matter-element and the amount for saving domain matter-element It is worth range.The distance computation formula of point and finite element are as follows:
The size of degree of association T (x) numerical value indicates that matter-element to be evaluated complies with standard the subjection degree of grade, and value is bigger, shows Matching degree is higher, and degree of association numerical value and opinion rating relationship are as shown in table 3:
3 degree of association numerical value of table and opinion rating relation table
Step S3, the weight that every three-level index in the degree of association is determined by level-delphi analysis method, receives multiple needles To the weight judgment matrix of every three-level index, the average homogeneity degree of each weight judgment matrix is calculated and to all average Consistent degree is normalized to obtain relatively uniform degree, is repaired using the relatively uniform degree to the weight of three-level index Just.
It specifically includes:
Step S301, using analytic hierarchy process (AHP) development of judgment matrix, the three-level index under same level level is chosen, two-by-two The relative importance of comparative assessment three-level index forms the comparator matrix F of evaluation index:
rijValue obtained using Method of nine marks, judgment mode is as shown in table 4
Table 4 is the same as index importance contrast table two-by-two under level horizontal
riWith rjImportance comparison rijThe selection of value rjiThe selection of value
riWith rjIt is of equal importance 1 1
riCompare rjIt is slightly important 3 1/3
riCompare rjIt is obvious important 5 1/5
riCompare rjIt is strong important 7 1/7
riCompare rjIt is extremely important 9 1/9
Step S302, the determination of Mode of Level Simple Sequence and weight, using capable and regular method, if n rank judgment matrix are as follows:
Have by row read group totalObtain weight vectors W=(v1、v2…、vn)T, through returning One changesAfter so that the sum of each element is equal to 1, vector W=(w is obtained1、w2…、wn)T, the element of W is as same For one level factor for the sequencing weight of upper level factor factor relative importance, secondary process is Mode of Level Simple Sequence, wherein wiIt is exactly the degree of priority of hierarchical ranking, i.e., the weight of each index.
Step S303, the consistency check of single layer minor sort needs to carry out consistency check confirmation Mode of Level Simple Sequence, unanimously Property examine and refer to and determine inconsistent allowed band to A, define the coincident indicator that CI is single layer minor sort, definition RI is single layer The random index of minor sort, RI value are as shown in table 5:
The selection of 5 RI value of table
n 1 2 3 4 5 6 7 8 9
RI 0 0 0.51 0.89 1.12 1.25 1.34 1.42 1.46
n 10 11 12 13 14 15 16 17 18
RI 1.49 1.52 1.54 1.56 1.58 1.59 1.5943 1.6064 1.6133
Consistency ratio: CR=CI/RI is defined, as consistency ratio CR=CI/RI≤0.1, it is believed that the inconsistent journey of A Degree within permissible range, have satisfied consistency, by consistency check, can use its normalization characteristic vector as weigh to Otherwise amount will reconfigure in pairs relatively matrix A, to aijIt is adjusted.
Step S304, using in same level the single sequence of all levels as a result, for all factors between level, calculate certain The total hierarchial sorting of one level is after normalizing, weight of available this layer of all factors for top relative importance Value, it is assumed that upper all factor A of a level1、A2、…An, it is total sequence completed, the weighted value that obtains be respectively a1、a2、… an, with aiCorresponding level factor B1、B2、…BnSingle sequence result be bi 1、bi 2、…bi nIf BjWith AjIt is unrelated, then There is bi j=0.
Total sequence computational chart 6 is as follows:
The total sequence computational chart of 6 city river of table evaluation
Step S305, the consistency check of total hierarchial sorting, if B layers of B1、B2、…、BnTo the layer of factor in upper layer (A layers) Secondary total sequence coincident indicator is CI, and total hierarchial sorting random index is RI, then the consistency ratio of total hierarchial sorting Are as follows:
As CR≤0.1, it is believed that total hierarchial sorting calculated result has good consistency.
Step S306, invite multidigit expert participative decision making, if from the weight that the weight judgment matrix that expert Z makes is formed to Amount are as follows: Wz=(Wz1、Wz2、Wz3、…、Wzn), (n=1,2 ..., 17), take weight vectors Wi and WjAngle be Dij=cos (θij), DijIndicate the respective weight judgment matrix W of two expertsiWith WjBetween consistent degree, according to DijSeek the weight of i-th of expert The average homogeneity degree Di of judgment matrix:
Step S307, the average homogeneity degree of all experts is normalized, obtains the weight judgment matrix of expert Relatively uniform degree D'i, with the relatively uniform degree D' of normalizationiWith respective weights multiplication of vectors and sum, obtain revised weight:
Further, the comprehensive black smelly grade in target river is determined, according to the Matter Analysis city river evaluation index degree of association It calculates, the weight distribution of binding hierarchy analysis and the revised each ecological element of Delphi, degree of being associated and weight product Calculated result is issued to get to the comprehensive black smelly opinion rating in target cities river according to the national environmental protection of in September, 2015 portion The practical black smelly situation of " black and odorous water Treatment process policy " and six grades of dividing conditions of three-level evaluation index and target, to city river Black smelly opinion rating is divided, as shown in table 7.
The black smelly opinion rating of 7 city river of table illustrates table
Further, based on the black smelly grade in target cities river and practical pollution of river situation, judge each Treatment process Importance chooses suitable technological measure, such as table 8, proposes corresponding Urban River Restoration suggestion, or provides corresponding black smelly, raw The tentative programmes such as border Improving Measurements integrally administer for target river and provide reference with reparation, realize " one plan of a river " and " mode is controlled The combination of reason ".
The necessity of 8 different stage black-odor riverway Treatment process of table selects
The necessity that the Treatment process is implemented in the more representatives of ★ quantity is stronger.
It please refers to shown in Fig. 1 and Fig. 2, the embodiment of the present invention one are as follows:
(1) evaluation object and evaluation content are determined, three-level indicator evaluation system is established.Evaluation object is the river N in certain city Road, evaluation content are evaluated the black smelly degree in the river N.
(2) evaluation criterion for determining three-level index, the sequence by three-level index by the comprehensive black smelly degree in river from low to high It is divided into one, two, three, four, five, six grade.
(2.1) evaluation of estimate for determining three-level index obtains the numerical value of the three-level index in the river N by investigating, such as 9 institute of table Show.
9 city river three-level index value table of table
(2.2) standardization processing three-level metrics evaluation vector carries out all numerical value according to the three-level index sequence of table 1 Normalized, processing result are as follows: (0.208,0.202,0.213,0.735,0.006,0.215,0.053,0.242, 0.055,0.643,0.202,0.232,0.074,0.015,0.036,0.013,0.204).
(3) matter-element analytic hierarchy process (AHP) is used, the evaluation result of objective science is obtained.
(3.1) evaluation index matrix is established:
(3.2) standardization processing evaluation index matrix, defines according to correlation function, determines degree of association matrix, such as table 10:
10 city river of table evaluates three-level index degree of association matrix table
(3.3) use Method of nine marks, determine the weight of each three-level index, be W=(0.079,0.074,0.0567, 0.0537,0.066,0.047,0.078,0.060,0.057,0.060681876,0.069,0.057,0.053,0.041, 0.0467,0.051,0.051);
(3.4) consistency check of single layer minor sort;
Under black smelly horizontal level, consistency ratio CR=CI/RI=0.0297 < 0.1 meets coherence request;Eutrophy Change under horizontal level, consistency ratio CR=CI/RI=0.0189 < 0.1 meets coherence request;Bio-diversity level course Under secondary, consistency ratio CR=CI/RI=0.0157 < 0.1 meets coherence request;Under the horizontal level of hydrodynamics, unanimously Sex rate CR=CI/RI=0.0162 < 0.1, meets coherence request;
(3.5) consistency check of total hierarchial sorting;
Total sequence computational chart 11 is as follows:
The total sequence computational chart of 11 city river of table evaluation
The consistency ratio of total hierarchial sortingMeet coherence request.
(3.6) Delphi weight is corrected:
(3.6.1) is integrated multiple experts using Delphi method to the distribution of index weights and is modified.This scheme sign The decision opinion of 10 experts is taken, and establishes the weight vectors matrix being made of expert judging result.
The average homogeneity degree of (3.6.2) Judgment Matrix According as Consistent Rule:
It calculates 10 experts and judges weight vectors W between any twoiWith WjAngle be Dij=cos (θij)=(0.991, 0.952,0.929,0.945,0.989,0.967,0.942,0.958,0.937,0.982), i-th Judgment Matrix According as Consistent Rule is flat Equal consistent degree Di=(0.489,0.480,0.473,0.481,0.488,0.483,0.480,0.477,0.485,0.482) (i= 1,2,310);
D' is normalized to the average homogeneity degree of all expertsi=(0.102,0.100,0.098,0.100, 0.101,0.100,0.100,0.099,0.101,0.100) (i=1,2,310);
With the relatively uniform degree D' of normalizationiWith respective weights multiplication of vectors and sum, obtain revised weight: W'= (0.049,0.043,0.051,0.046,0.047,0.047,0.103,0.045,0.048,0.062,0.051,0.048, 0.061,0.084,0.070,0.090,0.055);
(4) by multiplied by weight after each index corresponding grade association angle value and amendment, final city inland river overall target is obtained Opinion rating table, as shown in table 12 below:
12 city inland river overall target evaluation table of table
(5) river related matter-element to be evaluated about overall merit grade Synthesis Relational Grade be (- 0.594, -0.584, - 0.518, -0.385, -0.074, -0.067), should be the result shows that the black smelly degree in the river to be at six grades, river water quality is extremely poor, Ecological environment self-organizing repair ability basic loss, black smelly phenomenon and its serious need to take physics, chemistry, biology etc. to combine Comprehensive control measures, reinforce river management, river training environment.
In conclusion a kind of river water body integrated evaluating method provided by the invention, introduces Delphi method and repairs as weight Positive means form more accurate integrated evaluating method, by setting expert judging table, establish expert opinion matrix, calculating Evaluation vector angle, and weight is corrected using the expert judging consistent degree after normalization, so that overall evaluation method is accurate Du Genggao, modified result more objective and fair, the more extensive characteristic of applicable evaluation index, while comparing the city of classification The black smelly evaluation degree in river is graded, and corresponds to control measures to each grade, dirty, endogenous pollution control is cut in such as control source, hydrodynamic force regulates and controls, It is aerated oxygen-enriched, biological prosthetic, restoration of the ecosystem etc., and necessity suggestion is provided, so that entire method integrality is higher, collection collection, Analysis, result and suggestion one form procedure and evaluate route, and systematicness is stronger.
The above description is only an embodiment of the present invention, is not intended to limit the scope of the invention, all to utilize this hair Equivalents made by bright specification and accompanying drawing content are applied directly or indirectly in relevant technical field, similarly include In scope of patent protection of the invention.

Claims (10)

1. a kind of river water body integrated evaluating method, it is characterised in that: the following steps are included: step S1, establishing three-level index and commenting Valence system, the three-level indicator evaluation system include first class index, two-level index and three-level index, and the three-level index includes more A grade;
Step S2, quantitatively evaluating is carried out by black smelly degree of the Matter Analysis to river water body, including establishing three-level index Metrics evaluation matrix, indicator vector corresponding to metrics evaluation matrix and metrics evaluation matrix is normalized and Metrics evaluation matrix after determining normalized and the degree of association between each grade of the three-level index;
Step S3, the weight that every three-level index in the degree of association is determined by level-delphi analysis method receives multiple for institute The weight judgment matrix for stating every three-level index calculates the average homogeneity degree of each weight judgment matrix and to all average homogeneities Degree is normalized to obtain relatively uniform degree, is modified using the relatively uniform degree to the weight of three-level index.
2. river water body integrated evaluating method according to claim 1, it is characterised in that: the first class index is urban river water Body comprehensive evaluation index;The two-level index includes black smelly level, eutrophication, bio-diversity level, hydrodynamics It is horizontal;The three-level index include it is described it is black it is smelly it is horizontal under five-day BOD, COD, ammoniacal nitrogen, dissolved oxygen, Sulfidion, coloration, oxidation-reduction potential and apparent pollution index, it is nitrate nitrogen, total phosphorus under the eutrophication, total Nitrogen and chlorophyll a, Shannon-weaner diversity indices, Margalef diversity indices under the bio-diversity level With Simpson diversity indices, section water flow average speed and residence time under hydrodynamics level.
3. river water body integrated evaluating method according to claim 1, it is characterised in that: the tool of the metrics evaluation matrix Body method for building up are as follows: the metrics evaluation matrix of three-level index is set as Y'i, wherein Y'iEvaluation of the three-level index to each grade Value L'ij(i=1,2 ..., 17, j=1,2,3,4,5,6) indicate, i indicates corresponding i-th of three-level index, and j indicates to correspond to One, two, three, four, five, six grade.
4. river water body integrated evaluating method according to claim 3, it is characterised in that: to metrics evaluation matrix and index What indicator vector corresponding to evaluations matrix was normalized method particularly includes:
To metrics evaluation matrix Y'iIn evaluation of estimate be normalized, so that its evaluation of estimate is under the jurisdiction of the section of [0,1], if referring to Mark evaluations matrix Y'iThe section domain of middle three-level index is stringent closed interval, by the endpoint value of each Classical field divided by the right side in section domain Endpoint value, if section domain be [m ,+∞) semi-closure half open interval, then by m expand it is four times greater after value be set as section domain right end point value, then Metrics evaluation matrix Y by the endpoint value of each Classical field divided by the right end point value in section domain, after finally obtaining normalizationi, wherein The Classical field L of each three-level indexijIt indicates;
To the normalized of the evaluation of estimate in indicator vector, its evaluation of estimate is made to be under the jurisdiction of the section of [0,1], with b' respectively divided by Y'iIn the normalization of i-th three-level index when divided by numerical value, indicator vector B after being normalized, wherein B=(b1、 b2、…bi…b17), bi(i=1,2 ... 17) represent the evaluation of estimate of i-th of three-level index after standardization processing, B represents specification Change treated indicator vector.
5. river water body integrated evaluating method according to claim 4, it is characterised in that: the object element analysis of the Classical field Representation method are as follows:
It is 6 grade Q by the grade Q of three-level index points1、Q2、Q3、Q4、Q5、Q6, each index E in each gradenCorrespondence is different Magnitude range, feature EnMagnitude range be Xpj=[Apj, Bpj] (p=1,2,3,4,5,6), then the object element analysis K of Classical fieldpIt can It indicates are as follows:
The object element analysis representation method in the section domain are as follows:
Q0For the Q of each gradepIt constitutes, then by K0Domain matter-element is referred to as saved, magnitude range is X0j=[A0j, B0j], black-odor riverway The black smelly degree of synthesis section domain object element analysis K0It may be expressed as:
6. river water body integrated evaluating method according to claim 1, it is characterised in that: the determination method of the degree of association Are as follows:
The degree of association is set as T, Calculation Estimation index matrix GiDegree of association T about grade j:
In above formula, W ' is each index into excessively revised weight, and T (x) is the corresponding association of same index different safety class Maximum correlation function value in functional value, wherein T (x)=max (T (xj));
Association is determined using the definition of correlation function according to the evaluation index matrix and metrics evaluation vector after normalized Matrix T is spent, incidence matrix is made of each value of correlation function, are as follows:
In above formula: θ (X, X0) indicate matter-element magnitude X to finite interval X0(X0=[A, B]), A, B be respectively finite element section most Small value is at a distance from maximum value;θ(X,XP) it is matter-element magnitude X to be measured and finite interval Xp(Xp=[Aj, Bj]) distance;X, X0, XjThe magnitude of the black smelly degree matter-element in river respectively to be evaluated, the magnitude range of Classical field matter-element and the magnitude range for saving domain matter-element, The distance computation formula of point and finite element are as follows:
7. river water body integrated evaluating method according to claim 1, it is characterised in that: the weight of the three-level index is true Determine specific steps are as follows:
Step S301, using analytic hierarchy process (AHP) development of judgment matrix, the three-level index under same level level is chosen, is compared two-by-two The relative importance for assessing three-level index, forms the comparator matrix F of evaluation index:
Step S302, the determination of Mode of Level Simple Sequence and weight, using capable and regular method, if n rank judgment matrix are as follows:
Have by row read group totalObtain weight vectors W=(v1、v2…、vn)T, through normalizingAfter so that the sum of each element is equal to 1, vector W=(w is obtained1、w2…、wn)T, the element of W is same layer Secondary factor is for the sequencing weight of upper level factor factor relative importance, and secondary process is Mode of Level Simple Sequence, wherein wiJust It is the degree of priority of hierarchical ranking, i.e., the weight of each index;
Step S303, the consistency check of single layer minor sort needs to carry out consistency check confirmation Mode of Level Simple Sequence, consistency inspection It tests and refers to and determine inconsistent allowed band to A, define the coincident indicator that CI is single layer minor sort, defining RI is that single level is arranged The random index of sequence defines consistency ratio: CR=CI/RI, as consistency ratio CR=CI/RI≤0.1, it is believed that The inconsistent degree of A has satisfied consistency within permissible range, by consistency check, can with its normalization characteristic to Amount is used as weight vector, relatively matrix A is otherwise reconfigured in pairs, to aijIt is adjusted;
Step S304, using in same level the single sequence of all levels as a result, for all factors between level, calculate a certain layer Secondary total hierarchial sorting is after normalizing, weighted value of available this layer of all factors for top relative importance, vacation If upper all factor A of a level1、A2、…An, it is total sequence completed, the weighted value that obtains be respectively a1、a2、…an, with ai Corresponding level factor B1、B2、…BnSingle sequence result be bi 1、bi 2、…bi nIf BjWith AjIt is unrelated, then have
Step S305, the consistency check of total hierarchial sorting, if B layers of B1、B2、…、BnIt is total to the level of factor in upper layer (A layers) Sequence coincident indicator is CI, and total hierarchial sorting random index is RI, then the consistency ratio of total hierarchial sorting are as follows:
As CR≤0.1, it is believed that total hierarchial sorting calculated result has good consistency.
8. river water body integrated evaluating method according to claim 1, it is characterised in that: commented using the expert after normalization Consistent degree is sentenced to the modified specific steps of weight are as follows:
Step S306, multidigit expert participative decision making is invited, if the weight vectors that the weight judgment matrix made by expert Z is formed Are as follows: Wz=(Wz1、Wz2、Wz3、…、Wzn), (n=1,2 ..., 17), take weight vectors WiWith WjAngle be Dij=cos (θij), DijIndicate two experts respectively weight judgment matrix WiWith WjBetween consistent degree, according to DijThe weight of i-th of expert is asked to judge square The average homogeneity degree Di of battle array:
Step S307, the average homogeneity degree of all experts is normalized, obtains the phase of the weight judgment matrix of expert To consistent degree D'i, with the relatively uniform degree D' of normalizationiWith respective weights multiplication of vectors and sum, obtain revised weight:
9. river water body integrated evaluating method according to claim 1, it is characterised in that: after step S3 further include: step Rapid S4, the degree of association for calculating three-level index obtain the black smelly of river water body with the product of the corresponding revised weighted value of three-level index Degree.
10. river water body integrated evaluating method according to claim 9, it is characterised in that: according to the black smelly of river water body Degree carries out classification improvement to city river.
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CN111950882A (en) * 2020-08-04 2020-11-17 四川省食品发酵工业研究设计院 Wine sample grading method based on comprehensive sensory analysis
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CN112016838A (en) * 2020-08-31 2020-12-01 广东电网有限责任公司 Method and system for calculating contribution rate of power distribution network energy efficiency index system and terminal equipment
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Application publication date: 20190111